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Theoretically, the presence of a metallic nanoparticle enhances the intermolecular energy transfer. We calculate this enhancement factor with a modal approach pertaining analytical results in the case of a nanosphere. We calculate the…

介观与纳米尺度物理 · 物理学 2019-07-02 Titus Sandu , Catalin Tibeica , Oana Nedelcu , Mihai Gologanu

Understanding electron transfer in organic molecules is of great interest in quantum materials for light harvesting, energy conversion, and integration of molecules into solar cells. This, however, poses the challenge of designing specific…

化学物理 · 物理学 2019-07-24 Duvalier Madrid-Úsuga , Cristian E. Susa , John H. Reina

Exploration of structure-property relationships as a function of dopant concentration is commonly based on mean field theories for solid solutions. However, such theories that work well for semiconductors tend to fail in materials with…

The electronic structure of a multichromophoric molecular complex containing two of each borondipyrromethane dye, Zn-tetraphenyl-porphyrin, bisphenyl anthracene and a fullerene are studied using density functional theory. The snowflake…

材料科学 · 物理学 2013-06-12 Luis Basurto , Rajendra R. Zope , Tunna Baruah

Given that the physical properties of polymeric liquids extend on a wide range of lengthscales, it is computationally convenient to represent them by coarse-grained (CG) descriptions at various granularities to investigate local and global…

软凝聚态物质 · 物理学 2019-06-06 Mohammadhasan Dinpajooh , Marina G. Guenza

We present a machine learning (ML) method for predicting electronic structure correlation energies using Hartree-Fock input.The total correlation energy is expressed in terms of individual and pair contributions from occupied molecular…

化学物理 · 物理学 2018-10-16 Matthew Welborn , Lixue Cheng , Thomas F. Miller

Near-unity energy transfer efficiency has been widely observed in natural photosynthetic complexes. This phenomenon has attracted broad interest from different fields, such as physics, biology, chemistry and material science, as it may…

In this paper, we propose a novel transfer learning approach called multi-modal cascade model with feature transfer for polymer property prediction.Polymers are characterized by a composite of data in several different formats, including…

机器学习 · 统计学 2025-05-08 Kiichi Obuchi , Yuta Yahagi , Kiyohiko Toyama , Shukichi Tanaka , Kota Matsui

The effective quasistatic conductivity of composite polymeric electrolytes is studied in terms of a hard-core--penetrable-layer model. Used to incorporate the interface phenomena (such as amorphization of the polymer matrix around filler…

材料科学 · 物理学 2019-11-05 M. Ya. Sushko , A. K. Semenov

By making use of the Green function concept of quantization of the electromagnetic field in Kramers--Kronig consistent media, a rigorous quantum mechanical derivation of the rate of intermolecular energy transfer in the presence of…

量子物理 · 物理学 2016-08-16 Ho Trung Dung , Ludwig Knöll , Dirk-Gunnar Welsch

F\"orster's theory of resonant energy transfer (FRET) predicts the strength and range of exciton transport between separated molecules. We introduce an exactly soluble model for FRET which reproduces F\"orster's results as well as…

介观与纳米尺度物理 · 物理学 2012-03-09 C. King , B. Barbiellini , D. Moser , V. Renugopalakrishnan

Dempster-Shafer evidence theory is wildly applied in multi-sensor data fusion. However, lots of uncertainty and interference exist in practical situation, especially in the battle field. It is still an open issue to model the reliability of…

其他计算机科学 · 计算机科学 2017-05-03 Zichang He , Wen Jiang

Mesoscopic molecular dynamics simulations are used to determine the large scale structure of several binary polymer mixtures of various chemical architecture, concentration, and thermodynamic conditions. By implementing an analytical…

软凝聚态物质 · 物理学 2010-04-05 J. McCarty , I. Y. Lyubimov , M. G. Guenza

Based on large-scale Monte Carlo simulations on lattice the energy probability distribution functions are investigated for a large set of primary sequences in distinct models of copolymers at low temperatures below transitions to compacted…

软凝聚态物质 · 物理学 2007-05-23 Edward G. Timoshenko , Yuri A. Kuznetsov , Roman N. Basovsky

A ubiquitous approach to obtain transferable machine learning-based models of potential energy surfaces for atomistic systems is to decompose the total energy into a sum of local atom-centred contributions. However, in many systems…

计算物理 · 物理学 2024-06-18 Jack Thomas , William J. Baldwin , Gábor Csányi , Christoph Ortner

Here, we demonstrate how machine learning enables the prediction of comonomers reactivity ratios based on the molecular structure of monomers. We combined multi-task learning, multi-inputs, and Graph Attention Network to build a model…

机器学习 · 计算机科学 2023-01-04 Tung Nguyen , Mona Bavarian

Steady-state density functional theory, called i-DFT, is employed to compute spectral and transmission properties of general interacting nanoscale regions coupled to electronic reservoirs. Exchange-correlation functionals are constructed…

介观与纳米尺度物理 · 物理学 2026-05-20 Nahual Sobrino , Stefan Kurth

Differential energy structure of a micro multi-charged-particle system and the beam internal potential energy is derived with consequent property and ecessary inference. Then by combining the energy differential structure with differential…

加速器物理 · 物理学 2007-05-23 Ji Luo , Chuang Zhang

Measurable spectra are theoretically very often derived from complicated many-body Green's functions. In this way, one calculates much more information than actually needed. Here we present an in principle exact approach to construct…

材料科学 · 物理学 2010-09-08 Matteo Gatti , Valerio Olevano , Lucia Reining , Ilya V. Tokatly

We present a theory that efficiently describes the quantum dynamics of an electronic excitation that is coupled to a continuous, highly structured phonon environment. Based on a stochastic approach to non-Markovian open quantum systems, we…

量子物理 · 物理学 2009-11-05 Jan Roden , Alexander Eisfeld , Wolfgang Wolff , Walter T. Strunz